Taylor Matte

25 total papers · 513 total citations
10 papers, 109 citations indexed

About

Taylor Matte is a scholar working on Molecular Biology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Taylor Matte has authored 10 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Taylor Matte's work include SARS-CoV-2 and COVID-19 Research (3 papers), Neonatal Respiratory Health Research (3 papers) and SARS-CoV-2 detection and testing (3 papers). Taylor Matte is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Neonatal Respiratory Health Research (3 papers) and SARS-CoV-2 detection and testing (3 papers). Taylor Matte collaborates with scholars based in United States, Italy and Spain. Taylor Matte's co-authors include Robert A. Haney, Jessica E. Garb, George J. Murphy, Kim Vanuytsel, Feiya Wang, Darrell N. Kotton, Amy Leung, Tasha Morrison, David H.K. Chui and Pushpinder Bawa and has published in prestigious journals such as Nature Communications, Cell stem cell and Cell Reports.

In The Last Decade

Taylor Matte

9 papers receiving 108 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Taylor Matte	60	22	20	14	14	10	109
Shunsuke Sasaoka	92 1.5×	13 0.6×	12 0.6×	12 0.9×	12 0.9×	11	140
Nada Alsahan	82 1.4×	12 0.5×	64 3.2×	12 0.9×	6 0.4×	11	147
Kye Sook Yi	119 2.0×	34 1.5×	9 0.5×	19 1.4×	29 2.1×	13	225
Ellen Thomas	71 1.2×	12 0.5×	56 2.8×	9 0.6×	27 1.9×	12	170
Stephanie Nance	71 1.2×	12 0.5×	10 0.5×	6 0.4×	7 0.5×	9	120
Leire Egia‐Mendikute	38 0.6×	8 0.4×	30 1.5×	16 1.1×	11 0.8×	11	134
Sara Zamora‐Caballero	103 1.7×	47 2.1×	28 1.4×	27 1.9×	11 0.8×	10	220
Philipp Busenhart	94 1.6×	15 0.7×	24 1.2×	11 0.8×	11 0.8×	10	142
Karen A. Chernoff	97 1.6×	14 0.6×	7 0.3×	22 1.6×	26 1.9×	11	237
Mimi Fang	144 2.4×	16 0.7×	36 1.8×	8 0.6×	8 0.6×	11	268

Countries citing papers authored by Taylor Matte

Since Specialization

Citations

This map shows the geographic impact of Taylor Matte's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Taylor Matte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taylor Matte more than expected).

Fields of papers citing papers by Taylor Matte

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taylor Matte. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Taylor Matte. The network helps show where Taylor Matte may publish in the future.

Co-authorship network of co-authors of Taylor Matte

This figure shows the co-authorship network connecting the top 25 collaborators of Taylor Matte. A scholar is included among the top collaborators of Taylor Matte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Taylor Matte. Taylor Matte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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